refactor: irbm module lowercase naming

Author: MenxLi

resbibman/core/serverConn.py

@@ -21,7 +21,7 @@
     from resbibman.core.dataSearcher import StringSearchT
     from resbibman.core.dataClass import DataTagT, DataPointSummary
     from resbibman.core.dbConn import DBFileInfo
-    from iRBM.lmInterface import ConversationDictT, ChatStreamIterType
+    from irbm.lmInterface import ConversationDictT, ChatStreamIterType
 
 class ConnectionBase:
     @property
@@ -218,7 +218,7 @@ def getDisscussionURL(self, uid: str) -> str:
 
 
 class IServerConn(ConnectionBase):
-    """Connection to iRBM.server"""
+    """Connection to irbm.server"""
 
     def __init__(self, host: str = "", port: str|int = "") -> None:
         super().__init__()

resbibman/core/textUtils.py

@@ -21,7 +21,7 @@
     from collections.abc import Iterator
 
 if TYPE_CHECKING:
-    from iRBM.lmInterface import ChatStreamIterType
+    from irbm.lmInterface import ChatStreamIterType
 
 def createSummaryWithLLM(iconn: IServerConn, text: str, verbose: bool = False) -> str:
     summary = ""

test/test_ai.py

@@ -1,5 +1,5 @@
-from iRBM.lmInterface import OpenAIChatStreamIter, streamOutput
-from iRBM import globalConfig as config
+from irbm.lmInterface import OpenAIChatStreamIter, streamOutput
+from irbm import globalConfig as config
 
 
 text = ""

test/test_basaran.py

@@ -1,5 +1,5 @@
-import iRBM
-from iRBM.lmInterface import HFChatStreamIter
+import irbm
+from irbm.lmInterface import HFChatStreamIter
 from basaran.model import load_model
 
 # pip install sentencepiece protobuf accelerate bitsandbytes basaran

test/test_fs.py

@@ -1,10 +1,10 @@
 
 import os
-import iRBM.globalConfig as config
+import irbm.globalConfig as config
 import openai
 openai.api_key = "EMPTY"
 config.fastchat_api_base = "http://localhost:16862/v1"
-from iRBM.lmInterface import streamOutput,getStreamIter
+from irbm.lmInterface import streamOutput,getStreamIter
 
 text = ""
 print("generating....")

test/test_queryFeatureIndex.py

@@ -1,5 +1,5 @@
 
-from iRBM.textFeature import queryFeatureIndex
+from irbm.textFeature import queryFeatureIndex
 
 res = queryFeatureIndex("hello", n_return=16)
 print(res)

test/test_vectorize.py

@@ -1,7 +1,7 @@
 
 # random text
 import random, string, asyncio
-from iRBM.lmTools import vectorize, featurize, EncoderT
+from irbm.lmTools import vectorize, featurize, EncoderT
 
 def random_text(words: int):
     def random_word():